Solution Overview
Where Banking Back-Office Cost Really Hides
Banking back-offices run on repetitive, document-heavy work. We apply AI and automation to your highest-cost processes so teams clear volume faster, at lower cost, with fewer errors.
Process intelligence
Map where cost, delay and rework actually accumulate.
Intelligent automation
Apply AI and rules to high-volume manual tasks.
Exception management
Resolve breaks with human-in-the-loop control.
The Problem
Why Back-Office Cost Stays Stubbornly High
Back-office cost stays high because volume grows faster than productivity, and manual workarounds quietly absorb the gains from every prior efficiency push.
Manual reconciliation
Teams match transactions by hand across systems, burning hours and introducing errors that surface late as costly downstream breaks.
Exception backlogs
Edge cases pile up in shared inboxes and spreadsheets with no clear ownership, ageing into SLA breaches and rework.
Fragmented systems
Data sits in disconnected cores, payment rails and document stores, forcing staff to swivel-chair between screens to complete one task.
Audit & compliance load
Every manual touch must be evidenced for auditors, adding controls overhead that scales linearly with transaction volume.
The Adastra Offer
A Layered Approach to Cutting Cost
We target the processes with the biggest cost-to-serve, then deploy a layered solution — discovery, intelligent automation, AI and managed operations — sized to your bank’s risk appetite.
Process Discovery & Cost Mapping
Process mining · Cost-to-serve · Baselining
- Mine process and financial data to a true cost baseline
- Rank processes by cost, volume and automation potential
- Pinpoint the highest-value automation candidates first
- Quantify the opportunity before any wider commitment
Intelligent Document Processing
IDP · OCR · Document AI
- Extract and validate data from statements, forms and KYC docs
- Replace manual keying with AI capture and confidence scoring
- Route low-confidence items to human review automatically
- Cut handling time on document-heavy operations
Reconciliation & Exception Automation
Matching · Exceptions · Straight-through
- Auto-match transactions across cores and payment rails
- Route only genuine breaks to people for resolution
- Apply rules and ML to recurring exception patterns
- Capture a complete audit trail for every action
Managed Back-Office Operations
Managed service · SLA · Monitoring
- Run automated processes as a service against agreed SLAs
- Monitor quality, throughput and exceptions continuously
- Tune models and rules as volume and complexity grow
- Report cost-to-serve back to the business each period
Expected Outcomes
The Cost You Can Expect to Take Out
Most banks see measurable cost reduction within the first two quarters, as automation absorbs volume and freed-up staff move to higher-value work.
How We Work
How We Take Out the Cost
We start where the cost is, prove value fast on one process, then scale the pattern across the back office with controls and your teams embedded throughout.
Discover
We mine process data and financials to build a true cost baseline, then rank back-office processes by cost, volume and automation potential, so investment targets the work where savings are largest and fastest.
Design
We shape the target operating model and an automation blueprint for the prioritised processes, defining where AI, rules and people each fit, and embedding the controls and audit evidence your risk and compliance teams require.
Build & prove
We build and pilot automation on one high-value process — document extraction, matching and exception routing — proving accuracy and cost reduction against the baseline before any wider commitment, with your operations team involved throughout.
Scale
We roll the proven pattern out across further processes and functions, managing change and training your teams so adoption sticks, and so each new process reuses the platform, accelerators and controls already validated in the pilot.
Run & optimise
We operate the automated processes as a managed service against agreed SLAs, monitoring quality and throughput, and continuously tuning models and rules so cost-to-serve keeps falling as volume and complexity grow over time.
Why Adastra
Why Banks Choose Adastra
Banks choose Adastra because we combine deep financial-services delivery with an AI-first engineering practice, and we stay accountable for outcomes from discovery through live operations.
Banking delivery depth
We have delivered data and operations programmes inside retail and commercial banks for two decades, so we understand your systems, controls and regulatory constraints from day one.
AI-first engineering
Our practice is built around applied AI and automation, not bolted on, so we bring proven document, matching and decisioning models rather than starting every engagement from scratch.
End-to-end ownership
We stay accountable from discovery through live managed operations, owning the outcome and the SLAs rather than handing over a strategy and leaving delivery risk with you.
Outcomes over hours
We anchor every engagement to measurable cost-to-serve reduction against an agreed baseline, so value is provable and you pay for results, not open-ended consulting time.
See it on your numbers
Get a tailored walkthrough with an Adastra back-office automation specialist.
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Start Cutting Your Back-Office Cost
Book a focused review of your back-office cost base. We’ll identify your highest-value automation candidates, size the savings, and design a six-week proof of value you can scale from.
- Book a back-office cost review
- Identify your top automation candidates
- Run a six-week proof of value
- Scale with managed operations
FAQ
Questions Banking Leaders Ask Us
Straight answers to the questions operations and finance leaders raise when evaluating a back-office cost-reduction partner — scope, risk, integration, timing, and how Adastra compares.
Start by automating the highest-volume, lowest-judgment tasks — reconciliation, document processing and exception routing — rather than cutting staff. This lowers cost to serve while improving accuracy and speed, because machines handle repetitive work and your people focus on genuine exceptions and customer-facing decisions. Adastra typically targets 40% cost reduction on automated processes.
High-volume, rules-based processes return fastest: transaction reconciliation, payment exception handling, KYC document extraction and statement processing. These combine large manual effort with predictable logic, so automation pays back within a quarter or two. We begin with process mining to rank candidates by cost and volume, then prove value on one process before scaling.
No — done correctly it reduces risk. Automated processes produce a complete, timestamped audit trail for every action, which is harder to achieve manually. We build controls, human-in-the-loop checkpoints and full logging into every workflow, so auditors get cleaner evidence and exceptions are reviewed by qualified staff rather than slipping through unnoticed.
Most banks see measurable savings within two quarters. We prove value on a single process in a six-to-eight-week pilot, then scale the proven pattern across the back office. Early reductions come from eliminating manual reconciliation and rework; larger savings follow as automation and managed operations absorb growing transaction volume without added headcount.
No. Our approach works on top of existing cores, payment rails and document stores rather than requiring replacement. We integrate through APIs and data extraction, automating the manual work that currently bridges fragmented systems. This avoids a costly transformation programme and delivers savings quickly, while keeping your underlying platforms unchanged.
We deliver working automation and measurable cost reduction, not just a strategy deck. Our teams combine banking delivery experience with AI-first engineering, building and running the solution end to end — discovery, build, and managed operations. We stay accountable for outcomes against agreed SLAs rather than handing over recommendations and leaving.
We use process mining to baseline cost, volume and variability, then automate high-volume, rules-based work and keep judgment-heavy exceptions with people. A human-in-the-loop model routes only true breaks and edge cases to staff. This balances cost reduction with control, so automation never compromises decisions that genuinely need human expertise.
Yes. We design the first solution as a repeatable pattern, then scale it across functions — payments, lending operations, KYC, reconciliation — and across regions with local controls. Managed operations and continuous monitoring keep performance consistent as you add scope, so cutting back-office cost becomes an ongoing capability rather than a one-off project.